Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
- nlp
- pre-trained-model
- unilm
- minilm
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Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Pretrained models for TensorFlow.js
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Pretrained model hub for Keras 3.
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
An NLP library for Uralic languages such as Finnish, Skolt Sami, Moksha and so on. Also supporting some non-Uralic languages such as Spanish, French, Arabic, Swedish, Norwegian, Russian and English. LLMs, FSTs and More!
A flexible and general-purpose ngrams library written in Ruby. Raingrams supports ngram sizes greater than 1, text/non-text grams, multiple parsing styles and open/closed vocabulary models.